AI case study

Children's Cancer InstituteGenomic analysis

Each childhood tumor has unique genetic drivers—adult protocols don't apply. Spreadsheets meant 6-month waits; Azure cut that to weeks.

Published

Key results

Compute Time Reduction
<24 hours
vs ~5,000 hours of compute
Analysis Time Reduction
3–4 wks
vs ~6 months

Result highlights

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The story

Context

A nonprofit research institute co-leading Australia's national childhood cancer precision medicine program across hospitals in Australia and New Zealand, with each enrolled patient generating close to a terabyte of genomic and health data.

Challenge

Childhood cancer requires identifying the specific genetic drivers behind each tumor rather than adapting adult treatments, demanding rapid analysis...

Solution
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Quotes

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The company

Children's Cancer Institute logo

Children's Cancer Institute

ccia.org.au

Medical research institute dedicated to curing childhood cancer.

IndustryNon-Profit & Social Impact
LocationRandwick, NSW, Australia
Employees51-250
Founded1984

The vendor

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

Use case

Children's Cancer Institute's Genomic analysis is part of this use case:

Scientific Discovery
25 case studies(+50% YoY)
Proven impact?
LowModerateVery Strong
4.5Moderate

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